code: def get_model(W_values, b_values):
      model = Linear(
          W_values.shape[0], W_values.shape[1], ops=NumpyOps()
      )
      model.initialize()
      model.set_param("W", W_values)
      model.set_param("b", b_values)
      return model
  
file_path: thinc/thinc/tests/strategies.py
imports: import numpy
  from hypothesis.extra.numpy import arrays
  from hypothesis.strategies import floats, integers, just, tuples
  from thinc.api import Linear, NumpyOps
label_desc: Use image node_id 2 for calling a global function with example usage: get_model(W_values, b_values) and returns: model